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Science Engineer Jobs in Indiana (NOW HIRING)

Deloitte

Senior AI Engineer - SFL Scientific

Indianapolis, IN · On-site

$99K - $137K/yr

Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on ...

Naval Sea Systems Command

ENGINEER/SCIENTIST

Crane, IN · On-site +1

$125K - $192K/yr

Summary You will serve as an ENGINEER/ SCIENTIST in the Global Deterrence & Defense Department (GX ... Computer Science Series Experience refers to paid and unpaid experience, including volunteer work ...

Naval Sea Systems Command

ENGINEER/SCIENTIST

Crane, IN · On-site +1

$125K - $192K/yr

Summary You will serve as an ENGINEER/SCIENTIST in the Rapid Mission Integration & Interoperability ... Computer Science Series Experience refers to paid and unpaid experience, including volunteer work ...

Naval Sea Systems Command

ENGINEER/SCIENTIST

Crane, IN · On-site

Professional Engineering Series FOR 1301: General Physical Science FOR 1501: General Mathematics ... Computer Science Series Experience refers to paid and unpaid experience, including volunteer work ...

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All JobsScience Engineer JobsScience Engineer Jobs in Indiana

Science Engineer information

What engineers make $200,000 a year?

Senior engineers in fields such as software, petroleum, aerospace, and electrical engineering can earn $200,000 or more annually, especially with extensive experience, advanced skills, and often in leadership or specialized roles. High-paying engineering positions typically require advanced degrees, certifications, and a strong track record of project management or technical expertise.

What are the key skills and qualifications needed to thrive as a Science Engineer, and why are they important?

To thrive as a Science Engineer, you need a strong background in engineering principles, scientific analysis, and problem-solving, typically supported by a relevant engineering degree. Familiarity with technical tools such as CAD software, simulation programs, and data analysis platforms, as well as certifications like Professional Engineer (PE), are often required. Strong communication, teamwork, and critical thinking skills help distinguish top performers in this field. These competencies ensure innovative solutions, effective project execution, and collaboration across interdisciplinary teams.

What do science engineers do?

Science engineers apply principles from science and engineering to develop new technologies, improve processes, and solve technical problems. They often work in research and development environments, utilizing tools like laboratory equipment and computer modeling, and may require knowledge of specific scientific disciplines and engineering standards.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or software engineering working in senior or executive roles can earn $500,000 or more annually. These positions often require advanced skills, extensive experience, and sometimes leadership responsibilities or working in high-paying industries like oil and gas, aerospace, or technology firms.

What jobs can you do with engineering science?

Engineering science graduates can pursue careers in research and development, systems engineering, quality assurance, and technical consulting. They often work in industries such as aerospace, automotive, energy, and manufacturing, utilizing skills in problem-solving, data analysis, and technical design. Certifications and proficiency with tools like CAD software or laboratory equipment can enhance job prospects.

What are science engineers?

Science engineers are professionals who apply scientific principles and methods to solve technical problems and develop new technologies. They often work at the intersection of research and application, using their expertise in fields such as physics, chemistry, biology, or materials science to design innovative products, improve existing processes, and conduct experiments. Science engineers collaborate with researchers, engineers, and other specialists to translate scientific discoveries into practical solutions for industries like healthcare, energy, manufacturing, and environmental management.

What is the difference between Science Engineer vs Mechanical Engineer?

AspectScience EngineerMechanical Engineer
Required CredentialsBachelor's or higher in science or engineering fields, certifications varyBachelor's or higher in mechanical engineering, PE license optional
Work EnvironmentResearch labs, development centers, industrial settingsManufacturing plants, design offices, testing facilities
Employer & Industry UsageResearch institutions, tech companies, government agenciesManufacturing firms, automotive, aerospace, energy sectors
Common Search & ComparisonYesYes

Science Engineers focus on applying scientific principles to develop new technologies and conduct research, often working in labs or research centers. Mechanical Engineers design, analyze, and manufacture mechanical systems, working primarily in industrial and manufacturing environments. While both roles require engineering knowledge, Science Engineers emphasize scientific research, whereas Mechanical Engineers focus on practical system design and production.

What are some common challenges Science Engineers face when working on interdisciplinary teams?

Science Engineers often collaborate with professionals from diverse backgrounds, such as chemists, physicists, and computer scientists. One common challenge is bridging communication gaps due to different terminologies and approaches used in each discipline. Successfully navigating these differences requires strong interpersonal skills and a willingness to learn from team members. Adapting to varying project management styles and aligning on shared goals are also key aspects of effective interdisciplinary teamwork.
What are popular job titles related to Science Engineer jobs in Indiana? For Science Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Science Engineer jobs in Indiana look for? The top searched job categories for Science Engineer jobs in Indiana are:
What cities in Indiana are hiring for Science Engineer jobs? Cities in Indiana with the most Science Engineer job openings:
Science Engineer jobs near you
Infographic showing various Science Engineer job openings in Indiana as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Data Engineer/Senior Data Engineer, Data and Science

Data Engineer/Senior Data Engineer, Data and Science

Aircall

Francisco, IN • On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Job description

Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We're redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
 
Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall's AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
 
Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We've built a product customers love and a business that's scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
At Aircall, you'll join a company in motion. We're ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
 
How we work at Aircall: We're customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you'll feel at home here.

About the role
The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.
 
In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.    
Responsibilities
  • Design, build and maintain core data infrastructure pieces that allow Aircall to support our many data use cases.
  • Enhance the data stack, lineage monitoring and alerting to prevent incidents and improve data quality.
  • Implement best practices for data management, storage and security to ensure data integrity and compliance with regulations.
  • Own the core company data pipeline, responsible for converting business needs to efficient & reliable data pipelines.
  • Participate in code reviews to ensure code quality and share knowledge.
  • Lead efforts to evaluate and integrate new technologies and tools to enhance our data infrastructure.
  • Define and manage evolving data models and data schemas. Manage SLA for data sets that power our company metrics. 
  • Collaborate with applied scientists, data scientists, analysts and other business stakeholders  to drive efficiencies for their work, supporting complex data processing, storage and orchestration
A little more about you:
  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering, with a strong focus on designing and building data pipelines and infrastructure.
  • Proficient in SQL and Python, with the ability to translate complexity into efficient code.
  • Experience with data workflow development and management tools (dbt, Airflow).
  • Solid understanding of distributed computing principles and experience with cloud-based data platforms such as AWS, GCP, or Azure.
  • Strong analytical and problem-solving skills, with the ability to effectively troubleshoot complex data issues.Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
  • Prior experience designing AI-ready data semantic layer is a major plus, specifically for enabling low-latency, high-fidelity analytics at scale.
  • Experience with data tooling, data governance, business intelligence and data privacy is a plus.
$130,000 - $200,000 a year
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.
Why join us?
 
Key moment to join Aircall in terms of growth and opportunities
Our people matter, work-life balance is important at Aircall
Fast-learning environment, entrepreneurial and strong team spirit
45+ Nationalities: cosmopolite & multi-cultural mindset
Competitive salary package & benefits
Medical, dental, and vision insurance is 100% covered
 401k plan with company matching!
 Unlimited PTO - take the time you need to come to work feeling great!
 Wellness, commuter, and childcare reimbursements
 Generous parental leave policy
 
DE&I Statement: 
At Aircall, we believe diversity, equity and inclusion - irrespective of origins, identity, background and orientations - are core to our journey. 
 
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.  
 
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
 
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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